Discover @LucasBoTang Open Source projects

Bo Tang (@LucasBoTang)

LucasBoTang

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Registered over 6 years ago
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53.8 %

Python
30.8 %

C++
7.7 %

MATLAB
3.8 %

Racket
3.8 %
Location 🇺🇸 United States
Country Total Rank 20,162
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Racket
425

Jupyter Notebook
599

MATLAB
7,796

Coursera_Reinforcement_Learning

Coursera Reinforcement Learning Specialization by University of Alberta & Alberta Machine Intelligence Institute

Jupyter Notebook

GradNorm

PyTorch implementation of the GradNorm

Jupyter Notebook

Optimal_Classification_Trees

Three MIP models for optimal classification tree: OCT, binOCT, flowOCT

Jupyter Notebook

ModularGAN

Unofficial PyTorch Implementation of ModularGan

Coursera_Discrete_Optimization

Exact and meta-heuristic algorithms for NP problems

Coursera_Big_Data_for_Data_Engineers

Assignments for Big Data for Data Engineers specialization on Coursera by Yandex.

Jupyter Notebook

LeetCode

My solutions for LeetCode

PyEPO-PredOpt-Chinese-Tutorial

Jupyter Notebook

Gradient_Descent_for_Convex_Quadratic

Implement the classical gradient descent method using different step size rules

Coursera_Managing_Big_Data_with_MySQL

Assignments and notes of the Managing Big Data with MySQL on Coursera by Duke University

Jupyter Notebook

Real_Estate_Management_Data_Analysis

Data analysis for real estate management

Jupyter Notebook

Coursera_Algorithms

Coursera Algorithms Specialization by Stanford University

Route_Planning

Route Planning on OpenStreetMap

Coursera_Deep_Learning

Deep Learning Specialization by deeplearning.ai on Coursera.

Jupyter Notebook

Concurrent_Traffic_Simulation

Udacity C++ Project Concurrent Traffic Simulation

Cloud_Computing_with_Stochastic_Programming_Decomposition

Optimizing Costs for Cloud Computing with Stochastic Programming

Jupyter Notebook

Species_of_Flowers

An an image classifier for species of flowers with PyTorch.

Jupyter Notebook

CS5800_Algorithms

Progamming assignments for CS5800 Algorithms

Edx_Introduction_to_Computer_Science_and_Programming_Using_Python

Introduction to computer science using python

Piecewise_Affine_Fitting

MIP for the piecewise affine fitting problem

Project_Financial_Markets_Text_Mining

Predict stock market movement based on news

Jupyter Notebook

Finding_Donor

Evaluate and optimize several different supervised learners to determine which algorithm will provide the highest donation yield while also reducing the total number of letters being sent.

Jupyter Notebook

Seattle_Airbnb

Data analysis for Airbnb in Seattle

Jupyter Notebook

Made_Up_Programming_Language

MUPL language interpreter implemented by Racket

Customer_Segments

Use unsupervised learning techniques to organize the general population into clusters, then use those clusters to see which of them comprise the main user base for the company.

Jupyter Notebook

Coursera_Machine_Learning

Homework and slides for Coursera machine learning course by Andrew Ng